Overview

Dataset statistics

Number of variables20
Number of observations250
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory39.2 KiB
Average record size in memory160.5 B

Variable types

NUM20

Reproduction

Analysis started2020-08-25 00:28:14.948030
Analysis finished2020-08-25 00:29:11.336808
Duration56.39 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

oz9 has unique values Unique
oz17 has unique values Unique
oz1 has unique values Unique
oz24 has unique values Unique
oz12 has unique values Unique
oz10 has unique values Unique
oz14 has unique values Unique
oz2 has unique values Unique
oz23 has unique values Unique
oz6 has unique values Unique
oz3 has unique values Unique
oz13 has unique values Unique
oz16 has unique values Unique
oz4 has unique values Unique
oz5 has unique values Unique
oz21 has unique values Unique
oz18 has unique values Unique
oz22 has unique values Unique
oz19 has unique values Unique
target has unique values Unique

Variables

oz9
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.327165126800537e-10
Minimum-1.8297977447509768
Maximum1.7852102518081665
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:29:11.382977image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.829797745
5-th percentile-1.634259266
Q1-0.7913365513
median0.1175925918
Q30.8424282521
95-th percentile1.477184695
Maximum1.785210252
Range3.615007997
Interquartile range (IQR)1.633764803

Descriptive statistics

Standard deviation1.000000004
Coefficient of variation (CV)1877171029
Kurtosis-1.092042084
Mean5.327165127e-10
Median Absolute Deviation (MAD)0.8176816888
Skewness-0.1513326838
Sum1.331791282e-07
Variance1.000000009
2020-08-25T00:29:11.490030image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.21191310910.4%
 
-0.220005944410.4%
 
-1.00266110910.4%
 
1.39485502210.4%
 
-1.30012559910.4%
 
0.326982855810.4%
 
0.47453203810.4%
 
0.42379012710.4%
 
0.48845115310.4%
 
-0.32648953810.4%
 
1.06572282310.4%
 
1.08363163510.4%
 
-0.586081743210.4%
 
-0.7779754410.4%
 
0.36788794410.4%
 
1.40652811510.4%
 
-0.685664057710.4%
 
0.994801640510.4%
 
0.855117082610.4%
 
1.41140174910.4%
 
0.895861804510.4%
 
0.136751934910.4%
 
-1.21607983110.4%
 
0.740363776710.4%
 
-0.174836456810.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.82979774510.4%
 
-1.82678651810.4%
 
-1.82494795310.4%
 
-1.82417404710.4%
 
-1.81834411610.4%
 
-1.81457376510.4%
 
-1.8009139310.4%
 
-1.7903891810.4%
 
-1.77377355110.4%
 
-1.74691581710.4%
 
ValueCountFrequency (%) 
1.78521025210.4%
 
1.77722144110.4%
 
1.76403164910.4%
 
1.75963604510.4%
 
1.75917530110.4%
 
1.7580447210.4%
 
1.59747934310.4%
 
1.5915533310.4%
 
1.58501815810.4%
 
1.57425379810.4%
 

oz17
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.142072379589081e-10
Minimum-1.756191611289978
Maximum1.6696720123291016
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:29:11.613448image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.756191611
5-th percentile-1.563248372
Q1-0.9107733369
median0.126968842
Q30.9054930061
95-th percentile1.468162018
Maximum1.669672012
Range3.425863624
Interquartile range (IQR)1.816266343

Descriptive statistics

Standard deviation0.9999999956
Coefficient of variation (CV)-1628114965
Kurtosis-1.240813018
Mean-6.14207238e-10
Median Absolute Deviation (MAD)0.8974622786
Skewness-0.07412445908
Sum-1.535518095e-07
Variance0.9999999913
2020-08-25T00:29:11.721689image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.07128441310.4%
 
1.04129552810.4%
 
-0.182943269610.4%
 
1.35969364610.4%
 
-0.77399200210.4%
 
1.58788156510.4%
 
-1.37336003810.4%
 
-0.706209540410.4%
 
0.332954138510.4%
 
0.119404040310.4%
 
1.15986239910.4%
 
-0.87465655810.4%
 
-0.586081266410.4%
 
-0.244308769710.4%
 
1.43318569710.4%
 
-1.23367488410.4%
 
0.00168344809210.4%
 
1.38316488310.4%
 
0.272283822310.4%
 
1.66967201210.4%
 
-1.4797542110.4%
 
0.180753812210.4%
 
-0.369504332510.4%
 
-1.71997845210.4%
 
1.52401351910.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.75619161110.4%
 
-1.73376524410.4%
 
-1.71997845210.4%
 
-1.70960605110.4%
 
-1.70524704510.4%
 
-1.70299303510.4%
 
-1.67814469310.4%
 
-1.63920462110.4%
 
-1.62676143610.4%
 
-1.61714494210.4%
 
ValueCountFrequency (%) 
1.66967201210.4%
 
1.65822565610.4%
 
1.5938992510.4%
 
1.58788156510.4%
 
1.5708823210.4%
 
1.56104683910.4%
 
1.5487037910.4%
 
1.52632570310.4%
 
1.52401351910.4%
 
1.52250504510.4%
 

oz1
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.093193173408508e-10
Minimum-2.501387596130371
Maximum2.119945287704468
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:29:11.838865image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.501387596
5-th percentile-1.55600878
Q1-0.739002198
median0.04791667871
Q30.7967604101
95-th percentile1.550624478
Maximum2.119945288
Range4.621332884
Interquartile range (IQR)1.535762608

Descriptive statistics

Standard deviation1.000000003
Coefficient of variation (CV)1235606245
Kurtosis-0.8314150595
Mean8.093193173e-10
Median Absolute Deviation (MAD)0.7776101232
Skewness0.0116358995
Sum2.023298293e-07
Variance1.000000005
2020-08-25T00:29:11.942404image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.11492204710.4%
 
-0.873208165210.4%
 
-1.79139256510.4%
 
1.19763612710.4%
 
0.0375119745710.4%
 
-0.443694919310.4%
 
-0.924135863810.4%
 
1.13317084310.4%
 
2.035860310.4%
 
-1.82749915110.4%
 
-0.432460755110.4%
 
1.09535884910.4%
 
0.46297550210.4%
 
-1.06479573210.4%
 
0.797529280210.4%
 
0.736656904210.4%
 
-0.628060817710.4%
 
0.562734663510.4%
 
1.0296051510.4%
 
-1.10381805910.4%
 
0.13845221710.4%
 
-1.60147571610.4%
 
1.37821984310.4%
 
0.20010900510.4%
 
1.98897504810.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-2.50138759610.4%
 
-2.0718729510.4%
 
-2.00284981710.4%
 
-1.9519702210.4%
 
-1.9177486910.4%
 
-1.87032926110.4%
 
-1.82749915110.4%
 
-1.79139256510.4%
 
-1.7420593510.4%
 
-1.62436521110.4%
 
ValueCountFrequency (%) 
2.11994528810.4%
 
2.05587601710.4%
 
2.035860310.4%
 
1.98897504810.4%
 
1.96628928210.4%
 
1.85855114510.4%
 
1.853528510.4%
 
1.78724491610.4%
 
1.7299667610.4%
 
1.64885115610.4%
 

oz24
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2740492820739747e-09
Minimum-1.7826809883117676
Maximum1.729942798614502
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:29:12.059331image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.782680988
5-th percentile-1.612104756
Q1-0.8539301902
median0.008978442289
Q30.8013088703
95-th percentile1.584585416
Maximum1.729942799
Range3.512623787
Interquartile range (IQR)1.655239061

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)784898994.2
Kurtosis-1.094507636
Mean1.274049282e-09
Median Absolute Deviation (MAD)0.8148569604
Skewness-0.04875778659
Sum3.185123205e-07
Variance1
2020-08-25T00:29:12.165416image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.56249904610.4%
 
0.546062707910.4%
 
-1.44957089410.4%
 
-0.795806109910.4%
 
-1.02573418610.4%
 
-0.643237590810.4%
 
-0.782885134210.4%
 
-0.35262295610.4%
 
0.0122935604310.4%
 
-0.617918670210.4%
 
1.15657544110.4%
 
-0.243326604410.4%
 
1.66926443610.4%
 
-1.42113816710.4%
 
0.662904381810.4%
 
-0.768303632710.4%
 
-0.544563174210.4%
 
1.60479354910.4%
 
-1.66338670310.4%
 
0.328931331610.4%
 
-0.328930437610.4%
 
-0.120318241410.4%
 
-1.6145416510.4%
 
-0.509416401410.4%
 
-0.530899643910.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.78268098810.4%
 
-1.76876902610.4%
 
-1.76530134710.4%
 
-1.74029231110.4%
 
-1.73096084610.4%
 
-1.71917760410.4%
 
-1.71621298810.4%
 
-1.69482076210.4%
 
-1.66625070610.4%
 
-1.66338670310.4%
 
ValueCountFrequency (%) 
1.72994279910.4%
 
1.72825348410.4%
 
1.7081122410.4%
 
1.68534028510.4%
 
1.67608368410.4%
 
1.66926443610.4%
 
1.66813874210.4%
 
1.65638935610.4%
 
1.64801394910.4%
 
1.63903665510.4%
 

oz12
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5720725059509277e-09
Minimum-1.6138083934783936
Maximum1.6413710117340088
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:29:12.286099image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.613808393
5-th percentile-1.485554087
Q1-1.004997119
median0.05875319801
Q30.9506595433
95-th percentile1.486214983
Maximum1.641371012
Range3.255179405
Interquartile range (IQR)1.955656663

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-636102976.8
Kurtosis-1.322155367
Mean-1.572072506e-09
Median Absolute Deviation (MAD)0.9466254655
Skewness-0.00151844588
Sum-3.930181265e-07
Variance1.000000002
2020-08-25T00:29:12.394252image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.18969476210.4%
 
0.967445313910.4%
 
0.611509263510.4%
 
-0.91619503510.4%
 
1.29527533110.4%
 
-1.3183736810.4%
 
0.263270586710.4%
 
0.743825733710.4%
 
0.648609340210.4%
 
1.53451991110.4%
 
0.0675260126610.4%
 
1.51009988810.4%
 
1.27083611510.4%
 
0.140543922810.4%
 
0.417560815810.4%
 
1.13507831110.4%
 
1.62817680810.4%
 
-1.11358690310.4%
 
1.33819460910.4%
 
-0.892728567110.4%
 
-1.60863268410.4%
 
0.874164104510.4%
 
-1.38211345710.4%
 
-0.159050643410.4%
 
-0.526014804810.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.61380839310.4%
 
-1.60863268410.4%
 
-1.60652577910.4%
 
-1.57685935510.4%
 
-1.57483637310.4%
 
-1.56729912810.4%
 
-1.55814337710.4%
 
-1.55423057110.4%
 
-1.55220794710.4%
 
-1.51613128210.4%
 
ValueCountFrequency (%) 
1.64137101210.4%
 
1.63997781310.4%
 
1.62817680810.4%
 
1.62200760810.4%
 
1.59611129810.4%
 
1.57678461110.4%
 
1.56295549910.4%
 
1.55915784810.4%
 
1.55388379110.4%
 
1.53451991110.4%
 

oz10
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-7.282942533493042e-10
Minimum-1.7574187517166138
Maximum1.6640340089797974
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:29:12.704513image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.757418752
5-th percentile-1.588817728
Q1-0.829493463
median0.03077721782
Q30.8245317191
95-th percentile1.548728371
Maximum1.664034009
Range3.421452761
Interquartile range (IQR)1.654025182

Descriptive statistics

Standard deviation0.9999999986
Coefficient of variation (CV)-1373071384
Kurtosis-1.136245169
Mean-7.282942533e-10
Median Absolute Deviation (MAD)0.8273444157
Skewness-0.0576772493
Sum-1.820735633e-07
Variance0.9999999971
2020-08-25T00:29:12.810609image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.787605345210.4%
 
-0.617741942410.4%
 
0.711556851910.4%
 
0.439542233910.4%
 
-0.943739771810.4%
 
-0.37850552810.4%
 
-1.73960304310.4%
 
-0.650656878910.4%
 
0.517237782510.4%
 
0.530930399910.4%
 
1.6018971210.4%
 
-0.516434907910.4%
 
-1.60188865710.4%
 
-0.0706379339110.4%
 
0.536091864110.4%
 
-1.404606710.4%
 
-0.50696551810.4%
 
-0.513337194910.4%
 
1.37432646810.4%
 
0.811673343210.4%
 
-0.0455415807710.4%
 
-0.750148415610.4%
 
-0.150183007110.4%
 
-1.27275204710.4%
 
-1.33427417310.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.75741875210.4%
 
-1.75455641710.4%
 
-1.74664270910.4%
 
-1.74307036410.4%
 
-1.73960304310.4%
 
-1.73628222910.4%
 
-1.73395574110.4%
 
-1.73071944710.4%
 
-1.69879305410.4%
 
-1.66402578410.4%
 
ValueCountFrequency (%) 
1.66403400910.4%
 
1.66101825210.4%
 
1.6078221810.4%
 
1.60667562510.4%
 
1.6018971210.4%
 
1.59998416910.4%
 
1.59917783710.4%
 
1.59364414210.4%
 
1.57576584810.4%
 
1.57212865410.4%
 

oz14
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.32830644009141e-09
Minimum-1.7518645524978638
Maximum1.542497634887695
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:29:12.927392image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.751864552
5-th percentile-1.547419333
Q1-0.9688487053
median0.1088786721
Q30.9039072543
95-th percentile1.441997439
Maximum1.542497635
Range3.294362187
Interquartile range (IQR)1.87275596

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)429496729.1
Kurtosis-1.335930405
Mean2.32830644e-09
Median Absolute Deviation (MAD)0.9204210043
Skewness-0.1420116408
Sum5.8207661e-07
Variance1.000000001
2020-08-25T00:29:13.032849image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.18359100810.4%
 
1.45638406310.4%
 
-1.36562669310.4%
 
-0.865914046810.4%
 
-0.825385808910.4%
 
1.25157785410.4%
 
-1.40660965410.4%
 
0.0900657698510.4%
 
-1.14781045910.4%
 
0.247138649210.4%
 
0.734548091910.4%
 
-1.28024268210.4%
 
1.28647410910.4%
 
1.52670335810.4%
 
0.00246436148910.4%
 
1.15755391110.4%
 
-0.348808795210.4%
 
0.756508231210.4%
 
0.276162922410.4%
 
1.01691687110.4%
 
-1.33429467710.4%
 
0.649056911510.4%
 
-0.0792786702510.4%
 
-1.35674285910.4%
 
1.32898497610.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.75186455210.4%
 
-1.74204111110.4%
 
-1.69519281410.4%
 
-1.67284774810.4%
 
-1.67195570510.4%
 
-1.65814769310.4%
 
-1.63246524310.4%
 
-1.61636817510.4%
 
-1.60438036910.4%
 
-1.58374309510.4%
 
ValueCountFrequency (%) 
1.54249763510.4%
 
1.5328390610.4%
 
1.52670335810.4%
 
1.51663672910.4%
 
1.51173424710.4%
 
1.50309097810.4%
 
1.50001895410.4%
 
1.49188435110.4%
 
1.46787154710.4%
 
1.46556258210.4%
 

oz2
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.840999513864517e-09
Minimum-1.7363619804382324
Maximum1.8101500272750852
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:29:13.150422image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.73636198
5-th percentile-1.550963932
Q1-0.8101551831
median0.01610513614
Q30.815430671
95-th percentile1.564734888
Maximum1.810150027
Range3.546512008
Interquartile range (IQR)1.625585854

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)351988797
Kurtosis-1.132934608
Mean2.840999514e-09
Median Absolute Deviation (MAD)0.8244560568
Skewness0.02282477111
Sum7.102498785e-07
Variance1.000000002
2020-08-25T00:29:13.257982image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.174804598110.4%
 
-0.603171348610.4%
 
-1.47821891310.4%
 
-1.32682263910.4%
 
-0.554853856610.4%
 
-1.59048867210.4%
 
0.337484031910.4%
 
-1.19759559610.4%
 
-1.12452876610.4%
 
-1.03352105610.4%
 
-1.38508355610.4%
 
1.38071322410.4%
 
-0.139808133210.4%
 
1.30498588110.4%
 
1.75597250510.4%
 
0.818015992610.4%
 
0.292310565710.4%
 
-1.45243322810.4%
 
-1.32002925910.4%
 
-0.197719588910.4%
 
1.64382326610.4%
 
-1.22878384610.4%
 
-0.390203386510.4%
 
1.09389007110.4%
 
1.06959855610.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.7363619810.4%
 
-1.73267614810.4%
 
-1.728226910.4%
 
-1.71399605310.4%
 
-1.68715465110.4%
 
-1.6682175410.4%
 
-1.6488747610.4%
 
-1.64853692110.4%
 
-1.64670741610.4%
 
-1.59048867210.4%
 
ValueCountFrequency (%) 
1.81015002710.4%
 
1.76904392210.4%
 
1.76324415210.4%
 
1.75597250510.4%
 
1.72837972610.4%
 
1.69214165210.4%
 
1.65443432310.4%
 
1.64921522110.4%
 
1.64382326610.4%
 
1.63397526710.4%
 

oz23
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0693987607955932e-09
Minimum-1.6598443984985352
Maximum1.7132676839828491
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:29:13.375655image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.659844398
5-th percentile-1.487254351
Q1-0.8891301006
median0.02400649339
Q30.8762301803
95-th percentile1.554364377
Maximum1.713267684
Range3.373112082
Interquartile range (IQR)1.765360281

Descriptive statistics

Standard deviation1.000000004
Coefficient of variation (CV)483232145.9
Kurtosis-1.215511342
Mean2.069398761e-09
Median Absolute Deviation (MAD)0.868517898
Skewness0.004402343006
Sum5.173496902e-07
Variance1.000000008
2020-08-25T00:29:13.483320image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.934569716510.4%
 
-0.589750826410.4%
 
0.311492979510.4%
 
0.926406621910.4%
 
-0.408635556710.4%
 
1.47983372210.4%
 
0.0843717828410.4%
 
0.981276571810.4%
 
-0.0234018582910.4%
 
-0.943521559210.4%
 
0.703286886210.4%
 
-0.640838503810.4%
 
-1.50910425210.4%
 
-1.34113061410.4%
 
1.37335705810.4%
 
0.370436608810.4%
 
1.45224511610.4%
 
0.247229576110.4%
 
-0.716839969210.4%
 
-0.194738835110.4%
 
0.409008413610.4%
 
-0.368235766910.4%
 
0.315508812710.4%
 
1.64676392110.4%
 
-1.37128472310.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.65984439810.4%
 
-1.64491534210.4%
 
-1.59825885310.4%
 
-1.58097398310.4%
 
-1.5758348710.4%
 
-1.55541896810.4%
 
-1.54291605910.4%
 
-1.52985143710.4%
 
-1.52118587510.4%
 
-1.51763582210.4%
 
ValueCountFrequency (%) 
1.71326768410.4%
 
1.71092069110.4%
 
1.68928670910.4%
 
1.68756711510.4%
 
1.67040586510.4%
 
1.65397763310.4%
 
1.64892184710.4%
 
1.64676392110.4%
 
1.64409804310.4%
 
1.63049304510.4%
 

oz6
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.8114224111798194e-09
Minimum-1.7752685546875
Maximum1.7410037517547607
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:29:13.605179image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.775268555
5-th percentile-1.538249946
Q1-0.7781160325
median-0.07482041232
Q30.8906974047
95-th percentile1.561486673
Maximum1.741003752
Range3.516272306
Interquartile range (IQR)1.668813437

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)-552052350.7
Kurtosis-1.153488264
Mean-1.811422411e-09
Median Absolute Deviation (MAD)0.8327362835
Skewness0.08907182039
Sum-4.528556028e-07
Variance1
2020-08-25T00:29:13.726002image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.0680540576610.4%
 
1.25618445910.4%
 
-1.50427627610.4%
 
-1.17757809210.4%
 
-0.917791247410.4%
 
0.961602330210.4%
 
0.366298526510.4%
 
-1.28842818710.4%
 
1.67370605510.4%
 
0.129925012610.4%
 
0.0668546482910.4%
 
0.300132274610.4%
 
-0.575360357810.4%
 
-1.22982072810.4%
 
0.836100995510.4%
 
0.371906578510.4%
 
1.33717417710.4%
 
0.977396547810.4%
 
1.03653204410.4%
 
-1.61944174810.4%
 
0.94350606210.4%
 
1.53739643110.4%
 
1.42118084410.4%
 
0.335008978810.4%
 
-0.629531979610.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.77526855510.4%
 
-1.74343466810.4%
 
-1.71684110210.4%
 
-1.6983518610.4%
 
-1.68131816410.4%
 
-1.67184877410.4%
 
-1.61944174810.4%
 
-1.59860944710.4%
 
-1.59616255810.4%
 
-1.59535491510.4%
 
ValueCountFrequency (%) 
1.74100375210.4%
 
1.73628294510.4%
 
1.73197734410.4%
 
1.71890389910.4%
 
1.69319045510.4%
 
1.68116462210.4%
 
1.67370605510.4%
 
1.60177147410.4%
 
1.57994294210.4%
 
1.57461798210.4%
 

oz3
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.38347968636765e-09
Minimum-2.0300648212432857
Maximum2.9248294830322266
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:29:13.847292image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.030064821
5-th percentile-1.278148943
Q1-0.6793630272
median-0.2229286134
Q30.486561805
95-th percentile2.086920214
Maximum2.924829483
Range4.954894304
Interquartile range (IQR)1.165924832

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-722815095.3
Kurtosis0.07665917987
Mean-1.383479686e-09
Median Absolute Deviation (MAD)0.5681261122
Skewness0.7947752831
Sum-3.458699216e-07
Variance1.000000003
2020-08-25T00:29:13.948696image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.617186784710.4%
 
-1.0494439610.4%
 
-0.576378285910.4%
 
0.324809938710.4%
 
1.19127547710.4%
 
-0.560748398310.4%
 
1.94216525610.4%
 
-0.592484414610.4%
 
-0.667678296610.4%
 
1.32382512110.4%
 
0.0353553518710.4%
 
-1.30389535410.4%
 
0.623723983810.4%
 
-0.640808403510.4%
 
-0.474456608310.4%
 
-0.55388951310.4%
 
-0.251295387710.4%
 
0.815607786210.4%
 
1.38511884210.4%
 
-0.894707560510.4%
 
-1.27866494710.4%
 
1.1770958910.4%
 
0.0227408837510.4%
 
2.28777337110.4%
 
-0.395913898910.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-2.03006482110.4%
 
-1.78312528110.4%
 
-1.75360751210.4%
 
-1.44915592710.4%
 
-1.44421219810.4%
 
-1.43942928310.4%
 
-1.38042938710.4%
 
-1.34168648710.4%
 
-1.32278132410.4%
 
-1.31914734810.4%
 
ValueCountFrequency (%) 
2.92482948310.4%
 
2.72123932810.4%
 
2.60611724910.4%
 
2.52236723910.4%
 
2.49700880110.4%
 
2.30786395110.4%
 
2.28777337110.4%
 
2.27113199210.4%
 
2.25498199510.4%
 
2.22190165510.4%
 

oz13
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.4118850195643518e-09
Minimum-1.6981853246688845
Maximum1.866536259651184
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:29:14.056933image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.698185325
5-th percentile-1.543289584
Q1-0.8707138002
median-0.0370850116
Q30.9099989533
95-th percentile1.54933573
Maximum1.86653626
Range3.564721584
Interquartile range (IQR)1.780712754

Descriptive statistics

Standard deviation0.9999999973
Coefficient of variation (CV)-708272970.9
Kurtosis-1.155723475
Mean-1.41188502e-09
Median Absolute Deviation (MAD)0.8603411615
Skewness0.07783188175
Sum-3.529712549e-07
Variance0.9999999947
2020-08-25T00:29:14.161488image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.428467452510.4%
 
0.553860366310.4%
 
-0.0940783321910.4%
 
-1.42712509610.4%
 
-0.391936600210.4%
 
1.512082110.4%
 
1.70836925510.4%
 
0.460535734910.4%
 
-0.350428044810.4%
 
1.69672334210.4%
 
-1.19076681110.4%
 
1.8665362610.4%
 
0.10896764710.4%
 
0.152871042510.4%
 
-1.28057718310.4%
 
-0.954320609610.4%
 
0.991820871810.4%
 
-0.60073089610.4%
 
1.54129600510.4%
 
-0.0242199916410.4%
 
-0.902206957310.4%
 
-0.960313320210.4%
 
-0.264141678810.4%
 
1.4958434110.4%
 
1.30963957310.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.69818532510.4%
 
-1.66334521810.4%
 
-1.66327047310.4%
 
-1.64693939710.4%
 
-1.64198136310.4%
 
-1.63049042210.4%
 
-1.61153054210.4%
 
-1.59944641610.4%
 
-1.59678554510.4%
 
-1.59416508710.4%
 
ValueCountFrequency (%) 
1.8665362610.4%
 
1.82544648610.4%
 
1.79087698510.4%
 
1.76091945210.4%
 
1.75250899810.4%
 
1.74401891210.4%
 
1.70836925510.4%
 
1.69672334210.4%
 
1.68866729710.4%
 
1.6882296810.4%
 

oz16
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.192092824453539e-10
Minimum-1.7479690313339231
Maximum1.723926663398743
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:29:14.284981image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.747969031
5-th percentile-1.536043209
Q1-0.8155394197
median-0.06520028785
Q30.8679166436
95-th percentile1.609269238
Maximum1.723926663
Range3.471895695
Interquartile range (IQR)1.683456063

Descriptive statistics

Standard deviation0.9999999984
Coefficient of variation (CV)8388608486
Kurtosis-1.170527981
Mean1.192092824e-10
Median Absolute Deviation (MAD)0.8576138318
Skewness0.08979228917
Sum2.980232061e-08
Variance0.9999999967
2020-08-25T00:29:14.390837image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.352782696510.4%
 
-1.45831525310.4%
 
-0.707702279110.4%
 
0.114163510510.4%
 
1.02867615210.4%
 
1.01111638510.4%
 
1.46909642210.4%
 
-0.01223385810.4%
 
-0.897987604110.4%
 
-0.163248479410.4%
 
1.09993100210.4%
 
0.013002965610.4%
 
-0.788731038610.4%
 
-0.426347434510.4%
 
-0.58440589910.4%
 
-0.56205284610.4%
 
-0.135650560310.4%
 
-1.43975448610.4%
 
1.2483462110.4%
 
1.72392666310.4%
 
-0.472484260810.4%
 
1.67509269710.4%
 
-1.22879886610.4%
 
-0.192905813510.4%
 
-1.62783706210.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.74796903110.4%
 
-1.69684648510.4%
 
-1.66847920410.4%
 
-1.66109466610.4%
 
-1.62783706210.4%
 
-1.61353468910.4%
 
-1.61023080310.4%
 
-1.60800421210.4%
 
-1.59757137310.4%
 
-1.57854223310.4%
 
ValueCountFrequency (%) 
1.72392666310.4%
 
1.71444594910.4%
 
1.6943913710.4%
 
1.69049608710.4%
 
1.67712676510.4%
 
1.67509269710.4%
 
1.67459595210.4%
 
1.66100537810.4%
 
1.65004193810.4%
 
1.64707624910.4%
 

oz4
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9802320611338473e-11
Minimum-1.674336075782776
Maximum1.7938005924224854
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:29:14.507293image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.674336076
5-th percentile-1.473424613
Q1-0.8687452078
median-0.07033181563
Q30.8269928098
95-th percentile1.715863764
Maximum1.793800592
Range3.468136668
Interquartile range (IQR)1.695738018

Descriptive statistics

Standard deviation0.9999999999
Coefficient of variation (CV)3.3554434e+10
Kurtosis-1.113682958
Mean2.980232061e-11
Median Absolute Deviation (MAD)0.8209295832
Skewness0.1419242827
Sum7.450580153e-09
Variance0.9999999999
2020-08-25T00:29:14.613842image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.600097298610.4%
 
-0.909828066810.4%
 
0.937190592310.4%
 
-0.267423212510.4%
 
-0.412309646610.4%
 
1.16469001810.4%
 
0.505545258510.4%
 
-1.26206469510.4%
 
1.73568928210.4%
 
0.646651387210.4%
 
0.882362484910.4%
 
-0.9420575510.4%
 
-1.02473878910.4%
 
-0.969564616710.4%
 
1.45670926610.4%
 
-0.517247210.4%
 
-1.45630085510.4%
 
0.36482414610.4%
 
0.789215624310.4%
 
-1.47588849110.4%
 
-0.0326937735110.4%
 
-1.28545582310.4%
 
1.59149777910.4%
 
-1.27959144110.4%
 
0.414378166210.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.67433607610.4%
 
-1.66232919710.4%
 
-1.64133334210.4%
 
-1.61663234210.4%
 
-1.59164714810.4%
 
-1.58388900810.4%
 
-1.5668525710.4%
 
-1.5624246610.4%
 
-1.54023826110.4%
 
-1.53696978110.4%
 
ValueCountFrequency (%) 
1.79380059210.4%
 
1.78833758810.4%
 
1.78689169910.4%
 
1.77182185610.4%
 
1.76213705510.4%
 
1.75965571410.4%
 
1.75689101210.4%
 
1.75288474610.4%
 
1.73568928210.4%
 
1.72834038710.4%
 

oz5
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9371509552001952e-10
Minimum-1.5843416452407837
Maximum1.6895757913589478
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:29:14.731803image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.584341645
5-th percentile-1.450328696
Q1-0.9032821059
median-0.02221839689
Q30.8944070488
95-th percentile1.590364689
Maximum1.689575791
Range3.273917437
Interquartile range (IQR)1.797689155

Descriptive statistics

Standard deviation1.000000003
Coefficient of variation (CV)5162220323
Kurtosis-1.283034707
Mean1.937150955e-10
Median Absolute Deviation (MAD)0.9008164313
Skewness0.07444242423
Sum4.842877388e-08
Variance1.000000006
2020-08-25T00:29:14.842564image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.57128655910.4%
 
-1.56533575110.4%
 
-0.747725963610.4%
 
-0.852705299910.4%
 
0.0950524732510.4%
 
-1.20736086410.4%
 
-1.28352761310.4%
 
0.573399484210.4%
 
-1.40558278610.4%
 
-1.56478166610.4%
 
-0.74087542310.4%
 
-1.28741395510.4%
 
1.32647228210.4%
 
-0.83740079410.4%
 
-1.50419700110.4%
 
-0.643268287210.4%
 
1.47288513210.4%
 
1.68680906310.4%
 
-0.369208186910.4%
 
0.606578826910.4%
 
-1.36647725110.4%
 
1.04030346910.4%
 
-1.42018353910.4%
 
1.33243894610.4%
 
-1.30103874210.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.58434164510.4%
 
-1.58227193410.4%
 
-1.57841503610.4%
 
-1.57594215910.4%
 
-1.57128655910.4%
 
-1.56533575110.4%
 
-1.56478166610.4%
 
-1.53778910610.4%
 
-1.50419700110.4%
 
-1.48729264710.4%
 
ValueCountFrequency (%) 
1.68957579110.4%
 
1.68680906310.4%
 
1.68607795210.4%
 
1.67198216910.4%
 
1.63517355910.4%
 
1.63227510510.4%
 
1.6264276510.4%
 
1.62272703610.4%
 
1.60754072710.4%
 
1.60436093810.4%
 

oz21
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.751600161194801e-09
Minimum-1.7699544429779053
Maximum1.6528275012969968
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:29:14.960990image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.769954443
5-th percentile-1.556900108
Q1-0.9327495843
median0.1700604036
Q30.8611249477
95-th percentile1.448157007
Maximum1.652827501
Range3.422781944
Interquartile range (IQR)1.793874532

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-266552926.1
Kurtosis-1.261764754
Mean-3.751600161e-09
Median Absolute Deviation (MAD)0.8700309992
Skewness-0.1408545411
Sum-9.379000403e-07
Variance1.000000001
2020-08-25T00:29:15.075248image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.644039928910.4%
 
-1.14386093610.4%
 
0.825868785410.4%
 
-1.0758092410.4%
 
-1.51012778310.4%
 
-0.232709616410.4%
 
0.41243848210.4%
 
-0.653001427710.4%
 
0.0823966637310.4%
 
-0.266926974110.4%
 
-1.64291155310.4%
 
1.04134404710.4%
 
-1.18489575410.4%
 
-1.59597873710.4%
 
0.810920178910.4%
 
-0.440017312810.4%
 
1.47439396410.4%
 
0.381053090110.4%
 
-0.475416153710.4%
 
-0.607147216810.4%
 
1.0793869510.4%
 
0.368233680710.4%
 
0.545549690710.4%
 
1.60281634310.4%
 
-1.48074448110.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.76995444310.4%
 
-1.75751495410.4%
 
-1.74240636810.4%
 
-1.70616972410.4%
 
-1.67531859910.4%
 
-1.67213201510.4%
 
-1.64998114110.4%
 
-1.64291155310.4%
 
-1.63339829410.4%
 
-1.59597873710.4%
 
ValueCountFrequency (%) 
1.65282750110.4%
 
1.64636993410.4%
 
1.64556002610.4%
 
1.6383137710.4%
 
1.62950575410.4%
 
1.60281634310.4%
 
1.58341848910.4%
 
1.58199107610.4%
 
1.55319321210.4%
 
1.4911819710.4%
 

oz18
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4146789908409118e-09
Minimum-1.8505942821502688
Maximum1.5905046463012695
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:29:15.189017image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.850594282
5-th percentile-1.643899858
Q1-0.7787759602
median-0.06402473338
Q30.9748993069
95-th percentile1.437566608
Maximum1.590504646
Range3.441098928
Interquartile range (IQR)1.753675267

Descriptive statistics

Standard deviation0.999999996
Coefficient of variation (CV)706874140.7
Kurtosis-1.168399208
Mean1.414678991e-09
Median Absolute Deviation (MAD)0.850982083
Skewness-0.1046240836
Sum3.536697477e-07
Variance0.9999999921
2020-08-25T00:29:15.296591image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.57492470710.4%
 
1.06896555410.4%
 
1.08236849310.4%
 
-0.330649197110.4%
 
-0.778484404110.4%
 
0.101643912510.4%
 
-1.80143296710.4%
 
1.02669072210.4%
 
-0.108784556410.4%
 
-1.3928954610.4%
 
-1.64093828210.4%
 
-0.715975403810.4%
 
-1.21063005910.4%
 
0.222328409610.4%
 
-0.217445269210.4%
 
1.32256460210.4%
 
-0.867302179310.4%
 
-1.67997336410.4%
 
1.34891581510.4%
 
-0.00219718855810.4%
 
-1.61550664910.4%
 
0.73321986210.4%
 
0.0492331720910.4%
 
-0.113297671110.4%
 
1.27955627410.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.85059428210.4%
 
-1.83246815210.4%
 
-1.81509900110.4%
 
-1.80847942810.4%
 
-1.80143296710.4%
 
-1.79101014110.4%
 
-1.76962578310.4%
 
-1.75175011210.4%
 
-1.68971502810.4%
 
-1.67997336410.4%
 
ValueCountFrequency (%) 
1.59050464610.4%
 
1.56845843810.4%
 
1.56029534310.4%
 
1.55239951610.4%
 
1.54919624310.4%
 
1.54246985910.4%
 
1.54155027910.4%
 
1.50903105710.4%
 
1.49824249710.4%
 
1.49294149910.4%
 

oz22
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0915100574493408e-09
Minimum-1.5073521137237549
Maximum1.81831693649292
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:29:15.419526image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.507352114
5-th percentile-1.390895742
Q1-0.894657284
median-0.1428739056
Q30.8564054519
95-th percentile1.667711514
Maximum1.818316936
Range3.32566905
Interquartile range (IQR)1.751062736

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)916161968
Kurtosis-1.175086894
Mean1.091510057e-09
Median Absolute Deviation (MAD)0.828201212
Skewness0.2427025447
Sum2.728775144e-07
Variance1.000000005
2020-08-25T00:29:15.529989image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.24316668510.4%
 
1.52571320510.4%
 
-1.27083277710.4%
 
-0.362167388210.4%
 
0.319246441110.4%
 
-0.402187824210.4%
 
-0.611015498610.4%
 
-1.27183306210.4%
 
0.842457175310.4%
 
0.0662444755410.4%
 
-1.38803231710.4%
 
-0.930341780210.4%
 
1.35482215910.4%
 
1.56554877810.4%
 
-1.44984734110.4%
 
-1.25324845310.4%
 
-0.439517408610.4%
 
-1.39323854410.4%
 
-0.15567831710.4%
 
0.295339435310.4%
 
-0.832671523110.4%
 
-0.840079724810.4%
 
-1.21708905710.4%
 
0.0423979349410.4%
 
0.102568127210.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.50735211410.4%
 
-1.4967812310.4%
 
-1.47906017310.4%
 
-1.46653068110.4%
 
-1.46439313910.4%
 
-1.45583093210.4%
 
-1.45038247110.4%
 
-1.44984734110.4%
 
-1.44204163610.4%
 
-1.43332862910.4%
 
ValueCountFrequency (%) 
1.81831693610.4%
 
1.81295704810.4%
 
1.80344319310.4%
 
1.80335295210.4%
 
1.80233037510.4%
 
1.80145132510.4%
 
1.79404354110.4%
 
1.77983546310.4%
 
1.7514246710.4%
 
1.710635910.4%
 

oz19
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.491978769863067e-09
Minimum-1.5729736089706419
Maximum1.8010108470916748
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:29:15.841422image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.572973609
5-th percentile-1.441072679
Q1-0.8999257833
median-0.03595068865
Q30.8465425521
95-th percentile1.632302165
Maximum1.801010847
Range3.373984456
Interquartile range (IQR)1.746468335

Descriptive statistics

Standard deviation1.000000005
Coefficient of variation (CV)670250827.1
Kurtosis-1.204120439
Mean1.49197877e-09
Median Absolute Deviation (MAD)0.8761341274
Skewness0.149444551
Sum3.729946925e-07
Variance1.000000009
2020-08-25T00:29:15.947914image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.63390958310.4%
 
1.10184383410.4%
 
1.53158557410.4%
 
-0.935137033510.4%
 
1.01288843210.4%
 
-0.955891728410.4%
 
-0.857896387610.4%
 
0.819004297310.4%
 
-0.22660109410.4%
 
1.47198295610.4%
 
-0.354810208110.4%
 
0.525536537210.4%
 
1.63212645110.4%
 
0.0424284301710.4%
 
-1.48270654710.4%
 
-0.270333319910.4%
 
-0.941292762810.4%
 
-1.55789029610.4%
 
-0.0283946823310.4%
 
-1.57297360910.4%
 
1.07786214410.4%
 
0.756473600910.4%
 
-1.42505598110.4%
 
0.499991059310.4%
 
1.27173137710.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.57297360910.4%
 
-1.56649029310.4%
 
-1.56272435210.4%
 
-1.55789029610.4%
 
-1.53883886310.4%
 
-1.52169823610.4%
 
-1.4983596810.4%
 
-1.48557579510.4%
 
-1.48270654710.4%
 
-1.48242735910.4%
 
ValueCountFrequency (%) 
1.80101084710.4%
 
1.78396093810.4%
 
1.76771414310.4%
 
1.76281344910.4%
 
1.75842571310.4%
 
1.75399887610.4%
 
1.74073171610.4%
 
1.71204280910.4%
 
1.70572149810.4%
 
1.6934415110.4%
 

target
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.420297384262085e-10
Minimum-2.3547794818878174
Maximum2.223488569259644
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:29:16.068109image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.354779482
5-th percentile-1.8487005
Q1-0.633817032
median0.2180201113
Q30.7993704379
95-th percentile1.295207155
Maximum2.223488569
Range4.578268051
Interquartile range (IQR)1.43318747

Descriptive statistics

Standard deviation0.9999999986
Coefficient of variation (CV)1844917221
Kurtosis-0.4684333271
Mean5.420297384e-10
Median Absolute Deviation (MAD)0.6925267875
Skewness-0.4937939307
Sum1.355074346e-07
Variance0.9999999972
2020-08-25T00:29:16.169547image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.03027212610.4%
 
0.322343558110.4%
 
-0.380603045210.4%
 
-0.260341912510.4%
 
0.487949281910.4%
 
0.428473174610.4%
 
0.106222666810.4%
 
-0.829272091410.4%
 
-1.46517825110.4%
 
-1.78255629510.4%
 
-0.179714277410.4%
 
-0.646645903610.4%
 
0.535316944110.4%
 
0.818028509610.4%
 
-1.04035246410.4%
 
-1.51226091410.4%
 
-2.31594681710.4%
 
-0.0201311223210.4%
 
1.05596876110.4%
 
0.892241060710.4%
 
1.00029957310.4%
 
0.864425420810.4%
 
0.956395566510.4%
 
0.860531091710.4%
 
-0.149365022810.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-2.35477948210.4%
 
-2.33865594910.4%
 
-2.32666826210.4%
 
-2.31594681710.4%
 
-2.26479172710.4%
 
-2.22990274410.4%
 
-2.22130680110.4%
 
-2.18954324710.4%
 
-2.15724396710.4%
 
-2.12621450410.4%
 
ValueCountFrequency (%) 
2.22348856910.4%
 
1.93122732610.4%
 
1.85303187410.4%
 
1.80340385410.4%
 
1.73870241610.4%
 
1.55635559610.4%
 
1.4914381510.4%
 
1.47457742710.4%
 
1.37455391910.4%
 
1.35313653910.4%
 

Interactions

2020-08-25T00:28:16.044150image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:16.183222image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:16.314621image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:16.438577image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:16.572373image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:16.707351image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:16.840297image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:16.972140image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:17.104882image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:17.394508image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:17.525717image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:17.653006image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:17.790877image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:17.923976image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:18.059832image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:18.194595image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:18.326874image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:18.462511image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:18.595241image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:18.737463image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:18.862391image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:18.993749image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:19.122549image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:19.241866image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:19.370166image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:19.500545image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:19.628551image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:19.755868image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:19.883269image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:20.015867image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:20.147523image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:20.269758image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:20.402122image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:20.533827image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:20.664146image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:20.791527image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:20.921362image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:21.054942image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:21.345042image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:21.471937image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:21.591140image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:21.713953image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:21.830366image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:21.938473image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:22.054733image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:22.171185image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:22.287888image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:22.408390image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:22.523446image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:22.641003image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:22.760265image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:22.870681image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:22.990236image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:23.106666image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:23.223905image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:23.338818image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:23.453345image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:23.573078image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:23.693468image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:23.814556image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:23.922993image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:24.055560image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:24.184362image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:24.308090image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:24.434477image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:24.559287image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:24.686870image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:24.813887image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:25.104619image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:25.232972image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:25.360539image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:25.482796image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:25.614113image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:25.743142image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:25.869928image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:25.996983image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:26.125372image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T00:28:54.787439image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:54.917572image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:55.047369image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:55.178025image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:55.309252image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:55.439335image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:55.570546image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:55.695931image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:55.833049image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:55.962831image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:56.092405image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:56.227670image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:56.364578image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:56.497392image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:56.630648image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:56.767565image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:57.167819image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:57.307304image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:57.438415image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:57.568980image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:57.701064image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:57.835358image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:57.965632image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:58.103632image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:58.238631image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:58.370504image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:58.500068image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:58.632112image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:58.776612image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:58.908534image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:59.039973image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:59.169476image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:59.304951image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:59.439459image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:59.569889image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:59.699726image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:59.824303image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:28:59.961377image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:00.094478image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:00.217973image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:00.352662image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:00.486203image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:00.619018image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:00.752087image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:00.888666image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:01.194130image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:01.329779image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:01.461333image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:01.605223image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:01.739260image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:01.875438image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:02.009873image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:02.143968image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:02.282678image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:02.417005image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:02.553085image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:02.678199image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:02.814355image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:02.944031image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:03.065407image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:03.192320image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:03.319133image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:03.447156image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:03.575945image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:03.704045image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:03.830680image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:03.961021image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:04.084547image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:04.217860image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:04.348330image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:04.479098image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:04.606829image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:04.736828image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:04.868630image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:05.165175image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:05.293147image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:05.414375image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:05.546035image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:05.672805image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:05.794824image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:05.926979image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:06.057132image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:06.186680image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:06.318826image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:06.448026image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:06.576190image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:06.707143image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:06.829535image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:06.964811image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:07.094555image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:07.222916image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:07.353719image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:07.483928image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:07.615858image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:07.743259image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:07.869196image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:07.989155image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:08.108844image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:08.225257image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:08.331106image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:08.450075image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:08.570214image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:08.693583image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:08.990690image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:09.108788image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:09.229357image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:09.346642image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:09.461646image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:09.598873image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:09.725433image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:09.844372image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:09.965504image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:10.086776image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:10.209857image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:10.330544image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:10.450265image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T00:29:16.309444image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T00:29:16.622442image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T00:29:16.931019image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T00:29:17.249161image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T00:29:10.713168image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:11.188745image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

oz9oz17oz1oz24oz12oz10oz14oz2oz23oz6oz3oz13oz16oz4oz5oz21oz18oz22oz19target
01.591553-1.568712-0.960769-1.1629091.0069951.333587-1.036160-1.648875-0.149676-0.868176-0.5607480.100135-0.777354-0.5931911.215446-1.4272461.3926310.1119140.8992200.048127
1-1.3010340.527630-0.264764-0.8617200.086664-0.5677880.728641-0.6991891.670406-1.743435-0.1741760.383212-0.7801390.830569-0.884428-0.698718-1.832468-0.777017-0.3548100.910248
2-1.287325-0.004737-0.0035491.0690381.234016-1.3342740.3503550.549980-0.575341-1.4736071.681414-0.6146301.1716341.472184-0.486673-0.964872-0.541399-1.1130120.229377-0.020131
3-1.485168-1.055116-0.437697-0.6432380.0776661.341809-0.273328-0.115333-0.659923-0.6646830.487310-0.5435190.1513270.328902-0.643268-0.811449-0.8642821.5257130.1297900.535317
40.083098-0.4493140.2579660.806974-0.337780-0.938988-0.0305670.414039-1.071956-0.919485-0.2353661.113761-0.508223-0.7876461.539478-0.156507-0.6675590.053586-0.510644-0.457203
50.174932-0.398728-1.509900-0.7488680.284237-1.626869-1.406610-0.942158-1.1205351.2113840.022458-0.253325-1.3458821.5229411.366012-1.4020140.2269110.6016390.2044250.726333
6-1.0161690.2244360.6311310.831070-1.552208-0.2217941.0407761.3807130.452700-0.8489870.9705230.927958-1.086641-0.216950-1.3494511.581991-0.3591761.263541-0.275459-2.264792
70.3397701.390529-1.486018-0.351300-0.5448110.137846-0.867880-1.7282271.021725-1.089817-0.397925-1.435488-1.062418-0.321081-0.534156-0.762071-0.561904-1.449847-0.928123-0.505677
8-0.6522811.593899-1.3705231.2250040.0029920.223611-1.241695-1.284293-0.222951-0.989758-0.559016-1.1274051.515355-0.861847-1.4872930.8191051.3225650.8901001.230158-0.523459
9-0.4734320.1024540.343392-0.0284351.4023780.644478-1.2998701.233155-0.255357-0.0555582.721239-1.698185-1.7479691.756891-0.372794-0.756789-1.392895-1.0378951.233410-1.010095

Last rows

oz9oz17oz1oz24oz12oz10oz14oz2oz23oz6oz3oz13oz16oz4oz5oz21oz18oz22oz19target
240-0.3648310.262438-1.6243650.191467-1.4434130.892551-1.632465-1.283571-0.6546070.977397-0.700657-0.869759-0.5620530.3009211.488358-1.172881-0.739252-0.1889401.0128880.708449
2411.2225171.3039140.1384521.1537951.235467-0.650740-0.0404060.6930260.9950830.121952-0.819601-0.619013-0.909397-1.456301-1.1625061.2643250.421101-0.1735371.101844-1.447619
2420.6402010.2566370.9135061.604794-1.189695-1.3175611.3881620.956061-0.898020-0.006501-0.1145280.2119990.189691-0.974044-0.3835341.645560-0.0459011.7106360.093294-2.315947
243-1.7903890.332954-0.978966-0.4043100.0412760.8642090.169152-0.8837110.257096-0.2047860.130324-0.0242200.910432-0.070743-0.3846081.2498000.7158381.5097840.3668100.083333
2441.411402-0.8863850.6331661.338874-1.5076001.5047661.1140871.243523-0.326063-0.7679290.5156351.6967230.611516-0.069920-0.6260830.245875-0.232621-0.539478-0.857896-2.338656
2451.062093-1.351734-0.2927351.6760840.3999320.5309301.016917-0.603171-0.3019601.537396-0.218517-0.3919370.7602800.444865-1.353802-1.672132-0.0021970.0901250.8491850.860531
246-0.5860821.6696720.513990-1.3171940.4410311.3565480.8838720.001556-1.4360271.4614320.0341820.276763-0.244690-0.2443440.1226110.615519-0.2021670.1025680.318026-0.130962
2470.260502-0.7211951.4520390.255567-1.0630800.4609781.2903681.4508860.518342-0.7503090.718959-0.208971-1.526429-0.2283181.5950350.546429-0.563326-0.2889720.7550430.302306
2480.9817130.163837-1.195300-0.0086020.1298500.113529-1.410908-1.1245291.436819-1.595355-0.8735040.5359701.236373-0.5006931.5984121.068950-0.1432740.460019-1.4441520.681553
2490.5204230.7342060.1469840.2748151.3665840.161521-1.3687450.0772090.5282371.361725-0.6803960.3212260.346202-0.649315-1.219097-0.013892-0.083665-0.530400-1.4373100.157844